Update app.py

app.py

@@ -1838,12 +1838,12 @@ def chatbot_response(message, history):
                 for statement in statements:
                     top_scoring_statements += f"- {statement}\n"
                 top_scoring_statements += "\n"
-            last_top_scoring_statements = top_scoring_statements  # Save for future use
+            last_top_scoring_statements = top_scoring_statements  # Save this for future use
         else:
-            top_scoring_statements = last_top_scoring_statements  # Reuse previously generated statements
+            top_scoring_statements = ""  # Don't include the top-scoring statements in subsequent messages
 
-        # Combine predefined prompt, top-scoring statements (only for context), and user input
-        combined_prompt = "\n\n### Top-Scoring Statements for Context ###\n" + top_scoring_statements
+        # Combine predefined prompt, top-scoring statements (only the first time), and user input
+        combined_prompt = top_scoring_statements  # Include top-scoring statements only once
         combined_prompt += "\n\nUser Input:\n" + message
         trust_tip, suggestion = get_trust_tip_and_suggestion()
         trust_tip_and_suggestion = f"\n\n---\n\n**Trust Tip**: {trust_tip}\n\n**Suggestion**: {suggestion}"
@@ -1871,7 +1871,9 @@ def chatbot_response(message, history):
 
         # Prepare the final response
         response = f"**Selected Dataset: {selected_dataset_ai}**\n\n"
-        # Do not include the top-scoring statements in the final response to the user
+        # Only include top-scoring statements once
+        if top_scoring_statements:
+            response += f"{top_scoring_statements}\n"
         response += f"\n{agent_output['output']}"
         response += trust_tip_and_suggestion
 
@@ -1891,6 +1893,7 @@ def chatbot_response(message, history):
         logger.error(f"Unexpected error: {e}")
         return "Error occurred during response generation."
 
+
 # def chatbot_response(message, history):
 #     """
 #     Generate chatbot response dynamically using selected dataset, user input, and maintaining history.